Yixuan Gong
Icahn School of Medicine at Mount Sinai
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Yixuan Gong.
Cancers | 2014
Yixuan Gong; Uma Chippada-Venkata; William Oh
Matrix metalloproteinases (MMPs), a group of zinc-dependent endopeptidases involved in the degradation of the extracellular matrix, play an important role in tissue remodeling associated with various physiological processes such as morphogenesis, angiogenesis, and tissue repair, as well as pathological processes including cirrhosis, arthritis and cancer. The MMPs are well established as mediators of tumor invasion and metastasis by breaking down connective tissue barriers. Although there has been a vast amount of literature on the role of MMPs in invasion, metastasis and angiogenesis of various cancers, the role of these endopeptidases in prostate cancer progression has not been systematically reviewed. This overview summarizes findings on the tissue and blood expression of MMPs, their function, regulation and prognostic implication in human prostate cancer, with a focus on MMP-2, -7, -9, MT1-MMP and tissue inhibitor of metalloproteinase 1 (TIMP-1). This review also summarizes the efficacy and failure of early-generation matrix metalloproteinase inhibitors (MMPIs) in the treatment of metastatic prostate cancer and highlights the lessons and challenges for next generation MMPIs.
The Journal of Urology | 2012
Alexander C. Small; Yixuan Gong; William Oh; Simon J. Hall; Cees J.M. van Rijn; Matthew D. Galsky
PURPOSE Circulating tumor cells are malignant cells in peripheral blood that originate from primary tumors or metastatic sites. The heterogeneous natural history and propensity for recurrence in prostate, bladder and kidney cancers are well suited for improved individualization of care using circulating tumor cells. The potential clinical applications of circulating tumor cells include early diagnosis, disease prediction and prognosis, and selection of appropriate therapies. MATERIALS AND METHODS The PubMed® and Web of Science® databases were searched using the key words circulating tumor cells, CTC, prostate, kidney, bladder, renal cell carcinoma and transitional cell carcinoma. Relevant articles and references from 1994 to 2011 were reviewed for data on the detection and significance of circulating tumor cells in genitourinary cancer. RESULTS Technical challenges have previously limited the widespread introduction of circulating tumor cell detection in routine clinical care. Recently novel platforms were introduced to detect these cells that offer the promise of overcoming these limitations. We reviewed the current state of circulating tumor cell capture technologies and their clinical applications for genitourinary cancers. CONCLUSIONS In genitourinary cancer circulating tumor cell enumeration has been useful for prognosis in patients with castration resistant prostate cancer. Soon characterizing individual circulating tumor cells in blood will serve as a noninvasive real-time liquid biopsy to monitor molecular changes in cancer, allowing clinicians to custom tailor treatment strategies. Circulating tumor cells will serve as a treatment response biomarker. Finally, circulating tumor cell detection promises to assist in the early detection of clinically localized cancers, facilitating curative therapy.
PLOS ONE | 2013
Yixuan Gong; Evita Scott; Rong Lu; Yin Xu; William K. Oh; Qin Yu
Treatment options for late stage prostate and colon cancer are limited and there is an urgent need to develop more effective and targeted novel therapies, which starts with identification and validation of novel therapeutic targets. Recent clinical studies have demonstrated that tissue inhibitor matrix metalloproteinase-1 (TIMP-1) levels are elevated in cancer patient plasma and elevated TIMP-1 levels are associated with worse clinical outcomes. However, it is unknown whether TIMP-1 serves merely as a biomarker of cancer progression or has a functional role in promoting cancer progression and can serve as a cancer therapeutic target, which is the main objective of this study. Here, we show that stroma of human prostate and colon cancer express higher levels of TIMP-1 compared to their normal counterparts and increased expression of TIMP-1 promotes in vivo growth of both cancer types. We demonstrate for the first time that increased TIMP-1 expression stimulates accumulation of cancer associated fibroblasts (CAFs) within prostate and colon cancer tissues and that TIMP-1 enhances prostate CAF proliferation and migration in vitro and promotes ERK1/2 kinase activation in these CAF cells. Our results establish the novel promotive effects of TIMP-1 on cancer progression and on accumulation of CAFs that in turn provides a pro-tumor microenvironment. Together, these results establish the potential of TIMP-1 as a novel target for cancer therapy and the mechanism underlying the pro-tumor activity of TIMP-1.
The Prostate | 2015
Yixuan Gong; Uma Chippada-Venkata; Matthew D. Galsky; Jiaoti Huang; William Oh
Tissue inhibitor of metalloproteinase‐1 (TIMP‐1) is a 28.5 kDa secreted glycoprotein that inhibits matrix metalloproteinase (MMP) activity. Our group has previously shown that elevated plasma TIMP‐1 levels predict poor survival in metastatic castration‐resistant prostate cancer (CRPC) patients; however, the underlying source and impact of elevated circulating TIMP‐1 protein is unknown.
BMC Medicine | 2015
Li Wang; Yixuan Gong; Uma Chippada-Venkata; Matthias M. Heck; M. Retz; Roman Nawroth; Matthew D. Galsky; Che-Kai Tsao; Eric E. Schadt; Johann S. de Bono; David Olmos; Jun Zhu; William Oh
BackgroundCastration-resistant prostate cancer (CRPC) is associated with wide variations in survival. Recent studies of whole blood mRNA expression-based biomarkers strongly predicted survival but the genes used in these biomarker models were non-overlapping and their relationship was unknown. We developed a biomarker model for CRPC that is robust, but also captures underlying biological processes that drive prostate cancer lethality.MethodsUsing three independent cohorts of CRPC patients, we developed an integrative genomic approach for understanding the biological processes underlying genes associated with cancer progression, constructed a novel four-gene model that captured these changes, and compared the performance of the new model with existing gene models and other clinical parameters.ResultsOur analysis revealed striking patterns of myeloid- and lymphoid-specific distribution of genes that were differentially expressed in whole blood mRNA profiles: up-regulated genes in patients with worse survival were overexpressed in myeloid cells, whereas down-regulated genes were noted in lymphocytes. A resulting novel four-gene model showed significant prognostic power independent of known clinical predictors in two independent datasets totaling 90 patients with CRPC, and was superior to the two existing gene models.ConclusionsWhole blood mRNA profiling provides clinically relevant information in patients with CRPC. Integrative genomic analysis revealed patterns of differential mRNA expression with changes in gene expression in immune cell components which robustly predicted the survival of CRPC patients. The next step would be validation in a cohort of suitable size to quantify the prognostic improvement by the gene score upon the standard set of clinical parameters.
Cancer Research | 2018
Kimberly McClinch; Rita A. Avelar; David Callejas; Sudeh Izadmehr; Danica Wiredja; Abbey Perl; Jaya Sangodkar; David Kastrinsky; Daniela Schlatzer; Maxwell Cooper; Janna Kiselar; Agnes Stachnik; Shen Yao; Divya Hoon; Daniel McQuaid; Nilesh Zaware; Yixuan Gong; David L. Brautigan; Stephen R. Plymate; Cynthia C. Sprenger; William Oh; Alice C. Levine; Alexander Kirschenbaum; John P. Sfakianos; Rosalie C. Sears; Analisa DiFeo; Yiannis A. Ioannou; Michael Ohlmeyer; Goutham Narla; Matthew D. Galsky
Primary prostate cancer is generally treatable by androgen deprivation therapy, however, later recurrences of castrate-resistant prostate cancer (CRPC) that are more difficult to treat nearly always occur due to aberrant reactivation of the androgen receptor (AR). In this study, we report that CRPC cells are particularly sensitive to the growth-inhibitory effects of reengineered tricyclic sulfonamides, a class of molecules that activate the protein phosphatase PP2A, which inhibits multiple oncogenic signaling pathways. Treatment of CRPC cells with small-molecule activators of PP2A (SMAP) in vitro decreased cellular viability and clonogenicity and induced apoptosis. SMAP treatment also induced an array of significant changes in the phosphoproteome, including most notably dephosphorylation of full-length and truncated isoforms of the AR and downregulation of its regulatory kinases in a dose-dependent and time-dependent manner. In murine xenograft models of human CRPC, the potent compound SMAP-2 exhibited efficacy comparable with enzalutamide in inhibiting tumor formation. Overall, our results provide a preclinical proof of concept for the efficacy of SMAP in AR degradation and CRPC treatment.Significance: A novel class of small-molecule activators of the tumor suppressor PP2A, a serine/threonine phosphatase that inhibits many oncogenic signaling pathways, is shown to deregulate the phosphoproteome and to destabilize the androgen receptor in advanced prostate cancer. Cancer Res; 78(8); 2065-80. ©2018 AACR.
Oncogene | 2018
Eunjee Lee; Ana Collazo-Lorduy; Mireia Castillo-Martin; Yixuan Gong; Li Wang; William Oh; Matthew D. Galsky; Carlos Cordon-Cardo; Jun Zhu
Bladder cancers can be categorized into subtypes according to gene expression patterns. P53-like muscle-invasive bladder cancers are generally resistant to cisplatin-based chemotherapy, but exhibit heterogeneous clinical outcomes with a prognosis intermediate to that of the luminal and basal subtypes. The optimal approach to p53-like tumors remains poorly defined and better means to risk-stratify such tumors and identification of novel therapeutic targets is urgently needed. MicroRNAs (miRNAs) play a key role in cancer, both in tumorigenesis and tumor progression. In the past few years, miRNA expression signatures have been reported as prognostic biomarkers in different tumor types including bladder cancer. However, miRNA’s expression does not always correlate well with its activity. We previously developed ActMiR, a computational method for explicitly inferring miRNA activities. We applied ActMiR to The Cancer Genome Atlas (TCGA) bladder cancer data set and identified the activities of miR-106b-5p and miR-532-3p as potential prognostic markers of the p53-like subtype, and validated them in three independent bladder cancer data sets. Especially, higher miR-106b-5p activity was consistently associated with better survival in these data sets. Furthermore, we experimentally validated causal relationships between miR-106-5p and its predicted target genes in p53-like cell line HT1197. HT1197 cells treated with the miR-106b-5p-specific inhibitor were more invasive while cells treated with the miR-106b-5p-specific mimic were less invasive than corresponding controls. Altogether, our results suggest that miR-106b-5p activity can categorize p53-like bladder tumors into more and less-favorable prognostic groups, which provides critical information for personalizing treatment option for p53-like bladder cancers.
The Prostate | 2016
Matthias M. Heck; Mark Thalgott; Sebastian C. Schmid; William K. Oh; Yixuan Gong; Li Wang; Jun Zhu; Anna-Katharina Seitz; Desiree Porst; Michael Höppner; M. Retz; Jürgen E. Gschwend; Roman Nawroth
To determine a prognostic model derived from prostate cancer‐enhanced transcripts in whole blood of castration‐resistant prostate cancer (CRPC) patients and explore its applicability as a surrogate of treatment response.
Oncotarget | 2016
Yixuan Gong; Li Wang; Uma Chippada-Venkata; Xudong Dai; William Oh; Jun Zhu
To understand the heterogeneity of prostate cancer (PCa) and identify novel underlying drivers, we constructed integrative molecular Bayesian networks (IMBNs) for PCa by integrating gene expression and copy number alteration data from published datasets. After demonstrating such IMBNs with superior network accuracy, we identified multiple sub-networks within IMBNs related to biochemical recurrence (BCR) of PCa and inferred the corresponding key drivers. The key drivers regulated a set of common effectors including genes preferentially expressed in neuronal cells. NLGN4Y—a protein involved in synaptic adhesion in neurons—was ranked as the top gene closely linked to key drivers of myogenesis subnetworks. Lower expression of NLGN4Y was associated with higher grade PCa and an increased risk of BCR. We show that restoration of the protein expression of NLGN4Y in PC-3 cells leads to decreased cell proliferation, migration and inflammatory cytokine expression. Our results suggest that NLGN4Y is an important negative regulator in prostate cancer progression. More importantly, it highlights the value of IMBNs in generating biologically and clinically relevant hypotheses about prostate cancer that can be validated by independent studies.
Journal of Clinical Oncology | 2014
William Oh; Uma Chippada Venkata; Li Wang; Emma Reese; Tiffany Yee; Teena Kochukoshy; Che-Kai Tsao; Matt D. Galsky; Jun Zhu; Yixuan Gong
36 Background: We developed a whole-blood RNA transcript-based six gene signature (ABL2, SEMA4D, ITGAL, C1QA, TIMP1, CDKN1A), which separates patients with metastatic castration-resistant prostate cancer (mCRPC) into high- and low-risk survival groups (Ross et al. Lancet Oncology, 2012). In this study, the prognostic utility of the signature is validated on two independent platforms: an updated qPCR platform and an RNA-sequence platform in a new cohort of patients. The dynamic changes in the gene expression are examined during disease progression in serial samples from individual patients. Methods: Whole blood RNA was extracted from PAXgene tubes drawn from 63 patients with prostate cancer representing a range of clinical disease states. Serial samples were collected from a subset of patients (n=34). Survival prediction scores were derived independently based on the RNA-transcript levels of the six genes as quantified by a new ViiA 7 qPCR platform and by Illumina RNA-sequence. Results: The six gene signat...